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Although many excellent papers and some specialised monographs on different aspects of design theory had been published, prior to 1985 (when the first edition of this book appeared) there was no comprehensive monograph on the field. Thus it was our plan to cover the main concepts and ideas of modern design theory without being encyclopedic, but including a deeper study of several representative topics. As it turned out, these aims (which required a rather long book) seem to have been met by the first edition which has been quoted extensively in the research literature.
A first draft of this book was obtained by merging different manuscripts of the authors. The first edition then grew from an iterative process of rewriting in which all the authors contributed their ideas to each of the parts. For reasons of time constraints and shifting research interests, the major part of the revision now presented has been done by the second author, drawing on his previous update Jungnickel (1989a) and surveys Jungnickel (1990a, 1992a); in particular, this holds for Chapter VI. Of course, there has still been considerable help from his co-authors (with Chapter XIII being the first author's contribution), but nevertheless he is willing to accept most of the blame for the mistakes introduced during the process of revision.
We show that, if M is a connected binary matroid of cogirth at least five which does not have both an F7-minor and an F*7-minor, then M has a circuit C such that M − C is connected and r(M − C) = r(M).
In [1], recently published in Combinatorics, Probability and Computing, there was a typographical error. On p. 392, part (5) of Lemma 3.1, the formula should read as follows:
formula here
References
[1] Hadjicostas, P. (1998) The asymptotic proportion of subdivisions of a 2 × 2 table that result in Simpson's Paradox. Combinatorics, Probability and Computing7 387–396.
We prove an Erdős–Ko–Rado-type theorem for intersecting k-chains of subspaces of a finite vector space. This is the q-generalization of earlier results of Erdős, Seress and Székely for intersecting k-chains of subsets of an underlying set. The proof hinges on the author's proper generalization of the shift technique from extremal set theory to finite vector spaces, which uses a linear map to define the generalized shift operation. The theorem is the following.
For c = 0, 1, consider k-chains of subspaces of an n-dimensional vector space over GF(q), such that the smallest subspace in any chain has dimension at least c, and the largest subspace in any chain has dimension at most n − c. The largest number of such k-chains under the condition that any two share at least one subspace as an element of the chain, is achieved by the following constructions:
(1) fix a subspace of dimension c and take all k-chains containing it,
(2) fix a subspace of dimension n − c and take all k-chains containing it.
Assemblies are decomposable combinatorial objects characterized by a sequence mi that counts the number of possible components of size i. Permutations on n elements, mappings from a set containing n elements into itself, 2-regular graphs on n vertices, and set partitions on a set of size n are all assemblies with natural decompositions. Logarithmic assemblies are characterized by constants θ > 0 and κ0 > 0 such that miκi0/(i−1)! → θ. Random mappings, permutations and 2-regular graphs are all logarithmic assemblies, but set partitions are not.
Given a logarithmic assembly, all representatives having total size n are chosen uniformly and a component counting process C(n) = (C1(n), C2(n), …, Cn(n)) is defined, where Ci(n) is the number of components of size i. Our results also apply to C(n) distributed as the Ewens sampling formula with parameter θ. Denote the component counting process up to size at most b by Cb(n) = (C1(n), C2(n), …, Cb(n)). It is natural to approximate Cb by Zb = (Z1, Z2, …, Zb), the b-dimensional process of independent Poisson variables Zi for which the ith variable has expectation []Zi = miκi0 exp((1−θ)i/n)/i!. We find asymptotics for the total variation distance between Cb(n) and Zb.
It has been conjectured that a connected matroid with largest circuit size c [ges ] 2 and largest cocircuit size c* [ges ] 2 has at most ½cc* elements. Pou-Lin Wu has shown that this conjecture holds for graphic matroids. We prove two special cases of the conjecture, not restricted to graphic matroids, thereby providing the first nontrivial evidence that the conjecture is true for non-graphic matroids. Specifically, we prove the special case of the conjecture in which c = 4 or c* = 4. We also prove the special case for binary matroids with c = 5 or c* = 5.
Each edge of the standard rooted binary tree is equipped with a random weight; weights are independent and identically distibuted. The value of a vertex is the sum of the weights on the path from the root to the vertex. We wish to search the tree to find a vertex of large weight. A very natural conjecture of Aldous states that, in the sense of stochastic domination, an obvious greedy algorithm is best possible. We show that this conjecture is false. We prove, however, that in a weaker sense there is no significantly better algorithm.
For a graph G on vertex set V = {1, …, n} let k = (k1, …, kn) be an integral vector such that 1 [les ] ki [les ] di for i ∈ V, where di is the degree of the vertex i in G. A k-dominating set is a set Dk ⊆ V such that every vertex i ∈ V[setmn ]Dk has at least ki neighbours in Dk. The k-domination number γk(G) of G is the cardinality of a smallest k-dominating set of G.
For k1 = · · · = kn = 1, k-domination corresponds to the usual concept of domination. Our approach yields an improvement of an upper bound for the domination number found by N. Alon and J. H. Spencer.
If ki = di for i = 1, …, n, then the notion of k-dominating set corresponds to the complement of an independent set. A function fk(p) is defined, and it will be proved that γk(G) = min fk(p), where the minimum is taken over the n-dimensional cube Cn = {p = (p1, …, pn) [mid ] pi ∈ ℝ, 0 [les ] pi [les ] 1, i = 1, …, n}. An [Oscr](Δ22Δn-algorithm is presented, where Δ is the maximum degree of G, with INPUT: p ∈ Cn and OUTPUT: a k-dominating set Dk of G with [mid ]Dk[mid ][les ]fk(p).
Algebraic combinatorics involves the use of techniques from algebra, topology and geometry in the solution of combinatorial problems, or the use of combinatorial methods to attack problems in these areas. Problems amenable to the methods of algebraic combinatorics arise in these or other areas of mathematics, or from diverse parts of applied mathematics. Because of this interplay with many fields of mathematics, algebraic combinatorics is an area in which a wide variety of ideas and methods come together.
During 1996-97 MSRI held a full academic year program on Combinatorics, with special emphasis on algebraic combinatorics and its connections with other branches of mathematics, such as algebraic geometry, topology, commutative algebra, representation theory, and convex geometry. Different periods of the year were devoted to research in enumeration, extremal questions, geometric combinatorics and representation theory.
The rich combinatorial problems arising from the study of these various areas are the subject of this book, which represents work done or presented at seminars during the program. It contains contributions on matroid bundles, combinatorial representation theory, lattice points in polyhedra, bilinear forms, combinatorial differential topology and geometry, Macdonald polynomials and geometry, enumeration of matchings, the generalized Baues problem, and Littlewood- Richardson semigroups. These expository articles, written by some of the most respected researchers in the field, present the state-of-the-art to graduate students and researchers in combinatorics as well as algebra, geometry, and topology.
We examine a bilinear form associated with a real arrangement of hyperplanes introduced in [Schechtman and Varchenko 1991]. Our main objective is to show that the linear algebraic properties of this bilinear form are related to the combinatorics and topology of the hyperplane arrangement. We will survey results and state a number of open problems which relate the determinant, cokernel structure and Smith normal form of the bilinear form to combinatorial and topological invariants of the arrangement including the characteristic polynomial, combinatorial structure of the intersection lattice and homology of the Milnor fibre.
1. The Varchenko B Matrices
Let A = ﹛H1,…, Hl﹜ be an arrangement of hyperplanes in ℝn and let r(A) = ﹛R1,…, Rm﹜ denote the set of regions in the complement of the union of .A. Let L(A) denote the collection of intersections of hyperplanes in A. Included in L(A) is ℝ n, which we think of as the intersection of the empty set of hyperplanes. We order the elements of L(A) by reverse inclusion thus making it into a poset. It is well known that this poset is a meet semilattice and is a geometric lattice if the arrangement is central. We will abbreviate L(A) to L when the arrangement is clear.
We discuss the problem of finding an explicit description of the semigroup LRr of triples of partitions of length at most r such that the corresponding Littlewood-Richardson coefficient is non-zero. After discussing the history of the problem and previously known results, we suggest a new approach based on the “polyhedral” combinatorial expressions for the Littlewood-Richardson coefficients.
This article is based on my talk at the workshop on Representation Theory and Symmetric Functions, MSRI, April 14, 1997. I thank the organizers (Sergey Fomin, Curtis Greene, Phil Hanlon and Sheila Sundaram) for bringing together a group of outstanding combinatorialists and for giving me a chance to bring to their attention some of the problems that I find very exciting and beautiful. In preparing the note for this volume (October 1998), I made a few small changes in the original version [Zelevinsky 1997], and added in the end a brief (and undoubtedly incomplete) account of some exciting progress achieved since April 1997. I am grateful to the referee for helpful suggestions.
Theorem 1. LRr is a finitely generated subsemigroup of the additive semigroup Pr3 ⊂ ℤ3r. This is a special case of a much more general result well known to the experts in invariant theory. A short proof (valid for any reductive group instead of GLr(ℂ)) can be found in [Elashvili 1992]; A. Elashvili attributes this proof to M. Brion and F. Knop. The semigroup property also follows at once from “polyhedral” expressions for that will be discussed later (see Theorem 5 and below).
A variety of questions in combinatorics lead one to the task of analyzing the topology of a simplicial complex, or a more general cell complex. However, there are few general techniques to aid in this investigation. On the other hand, the subjects of differential topology and geometry are devoted to precisely this sort of problem, except that the topological spaces in question are smooth manifolds. In this paper we show how two standard techniques from the study of smooth manifolds, Morse theory and Bochner's method, can be adapted to aid in the investigation of combinatorial spaces.
Introduction
A variety of questions in combinatorics lead one to the task of analyzing a simplicial complex, or a more general cell complex. For example, a standard approach to investigating the structure of a partially ordered set is to instead study the topology of the associated order complex. However, there are few general techniques to aid in this investigation. On the other hand, the subjects of differential topology and differential geometry are devoted to precisely this sort of problem, except that the topological spaces in question are smooth manifolds, rather than combinatorial complexes. These are classical subjects, and numerous very general and powerful techniques have been developed and studied over the recent decades.
A smooth manifold is, loosely speaking, a topological space on which one has a well-defined notion of a derivative. One can then use calculus to study the space. I have recently found ways of adapting some techniques from differential topology and differential geometry to the study of combinatorial spaces. Perhaps surprisingly, many of the standard ingredients of differential topology and differential geometry have combinatorial analogues.